Michael Du's starred repositories
ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep-learning-models
Keras code and weights files for popular deep learning models.
keras-retinanet
Keras implementation of RetinaNet object detection.
DUP-ocropy
Python-based tools for document analysis and OCR
ai_projects
AI projects
traffic-prediction
Predict traffic flow with LSTM. For experimental purposes only, unsupported!
batch-scoring-for-dl-models
Batch Scoring For Deep Learning Models
Kaggle-Data-Science-Bowl-2017-
Kaggle Data Science Bowl 2017